重要会议定调创新驱动!科创综指ETF天弘(589860)、云计算ETF天弘(517390)跟踪指数携手上扬,盘中涨超1%
Sou Hu Cai Jing·2025-12-12 06:00

Core Insights - The article highlights the strong performance of the Tianhong ETFs, particularly the Sci-Tech Index ETF and the Cloud Computing ETF, indicating a positive trend in the technology sector [1][2][3] Group 1: ETF Performance - The Sci-Tech Index ETF Tianhong (589860) saw a turnover of 9.41% with a transaction volume of 28.55 million yuan, while the underlying Shanghai Sci-Tech Board Composite Index (000680) rose by 1.22% [1] - Key component stocks such as Jingfeng Mingyuan (688368) and Yandong Micro (688172) experienced significant gains of 20.00% and 18.30%, respectively [1] - The Cloud Computing ETF Tianhong (517390) had a turnover of 3.51% with a transaction volume of 12.49 million yuan, tracking the CSI Hong Kong-Shanghai-Shenzhen Cloud Computing Industry Index (931470) which rose by over 1% [1] Group 2: Growth and Market Trends - The Cloud Computing Hong Kong-Shanghai ETF (517390) reported a substantial growth of 21.22 million yuan over the past six months, indicating a strong upward trend [2] - The Sci-Tech Index is characterized by its comprehensive coverage of 97% of the Sci-Tech Board's market capitalization, focusing on early-stage innovation investment opportunities [3] - The article emphasizes the importance of capturing opportunities in the AI-driven cloud computing sector, particularly through the Hong Kong-Shanghai-Shenzhen Cloud Computing ETF [3] Group 3: Policy and Industry Developments - The Central Economic Work Conference held on December 10-11 emphasized the need for innovation-driven growth and the cultivation of new economic drivers, which is expected to support the technology sector [3][4] - The launch of the local section of the China Computing Power Platform marks a significant step in optimizing computing resources across regions, enhancing the infrastructure for technology development [4] - Financial institutions like Caixin Securities predict that the technology growth trend will continue in the medium to long term, with a focus on the AI industry chain transitioning from hardware to application [4]